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What radiology can learn from the service industry

Missed appointments continue to be a significant issue in radiology. In fact, according to one estimate, they can easily cost a mid-sized outpatient imaging center nearly $2 million annually.

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Europe’s 1st digital health CV conference kicks off in October

The ESC Digital Summit, Europe’s first-ever cardiac conference centered around digital health, is slated for Oct. 5 and 6 at the Creative Hub in Tallinn, Estonia, the European Society of Cardiology announced.

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Machine learning can read cardiac MRI scans––fast

Machine learning can read cardiac MRIs with the same accuracy as a physician, with much higher speed, according to a recent study published in Circulation: Cardiovascular Imaging and reported by Cardiovascular Business.

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3D-printed models can drop operating room times, bolster bottom line

Deploying 3D-printed, anatomical patient models and surgical guides has the potential to dramatically drop both time spent in the operating room and healthcare costs.

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Dense Breast Day urges radiology business leaders to build cancer awareness

Cancer advocates and Yale Medicine are urging radiology business professionals to raise awareness about the dangers of breast density Wednesday, Sept. 25, as part of a one-day social media campaign. 

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How to help providers track every patient’s imaging history

Every patient’s medical history should include a “Past Imaging History” section specifically designed to provide context about their health, according to a new commentary published in Current Problems in Diagnostic Radiology.

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Medical groups renew push to kill ‘disastrous’ device tax

The Medical Imaging & Technology Alliance (MITA), American College of Radiology and other industry groups sent a letter to congressional leadership Tuesday, Sept. 24, asking for a permanent repeal of the “disastrous” medical device tax. A suspension of the tax is set to expire Jan. 1, 2020.

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Machine learning improves efficiency of cardiac MRI analysis

Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

The researchers believe utilizing AI to read cardiac MRI scans could save 54 clinician-days per year at each UK health center.

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Machine learning cuts cardiac MRI analysis from minutes to seconds

Leveraging machine learning to read cardiac MRIs could speed up scan analysis while retaining the same accuracy as a physician, researchers reported this month.

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Some healthcare jobs are among the highest paid

With healthcare being in high demand, some professionals in the field are earning top dollar, according to a recent ranking from Glassdoor. In fact, healthcare jobs were among the highest-paying jobs in 2019, with physicians earning a median base salary of $193,415.

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